Rationality

The rationality of an architecture is a measure of consistency. That is, are the actions it performs always consistent with its knowledge and goals? Generally, if an agent would perform two different actions with the same knowledge in two identical situations, it is not said to be rational. The issues concerning rationality in cognitive architectures are discussed more completely as the maximum rationality hypothesis. Additionally, because of limited resources, full rationality may always be possible even when an agent as the general capability to act so. This is known as bounded rationality.

Use the following list to see an evaluation of any given architecture along the dimension of rationality:

Subsumption Architecture
Heterogeneous Asynchronous Architecture (Gat)
Plan-then-compile Architecture (Theo)
Planning and Learning Architecture (Prodigy)
Modular-Integrated Architecture (ICARUS)
Adaptive Intelligent Systems (AIS)
A Basic Integrated Agent (Homer)
Situated Action & Planned Action (Teton)
Problem-Space Architecture (Soar)
Real-Time, Decision-Theoretic Architecture (RALPH-MEA)
Entropy Reduction Engine Architecture (ERE)

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